AI Solution Architect (Hybrid - Porto) | International End Client

This is an excellent opportunity for experienced professionals looking to play a strategic role in designing and delivering enterprise-scale AI solutions while contributing to the growth and adoption of Artificial Intelligence across global business environments.

Skillstep, a technology talent acquisition company, is currently recruiting an AI Solution Architect for a leading international end client with a strong focus on innovation, digital transformation, and Artificial Intelligence.

Direct employment contract with the end client

Role Overview:

As an AI Solution Architect, you will be responsible for defining AI strategies, designing scalable architectures, and supporting the implementation of innovative AI-driven solutions.

You will work closely with business leaders, technical teams, and clients to identify opportunities where Artificial Intelligence can generate measurable business value while promoting the adoption of modern AI technologies.

Key Responsibilities:

Design enterprise-grade AI solution architectures;

Define AI roadmaps and implementation strategies;

Translate business challenges into innovative AI solutions;

Develop architectures leveraging Generative AI, LLMs, Agentic AI, NLP and RAG frameworks;

Participate in presales activities, proposals and client engagements;

Support AI governance and adoption initiatives;

Provide technical leadership throughout project lifecycles;

Mentor technical teams and contribute to innovation initiatives;

Evaluate emerging technologies and AI market trends.

Required Profile:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science or related fields;

7+ years of experience in AI, Software Engineering, Solution Architecture or Data domains;

Experience designing enterprise-scale AI solutions;

Strong stakeholder management and consulting skills;

Client-facing experience in strategic technology initiatives;

Excellent communication and presentation skills.

Technical Skills:

Artificial Intelligence:

Generative AI;

Agentic AI;

Machine Learning;

NLP;

Conversational AI;

LLM Ecosystems;

Retrieval-Augmented Generation (RAG).

Software Engineering:

Python;

Solution Architecture;

APIs and Integrations;

Microservices;

Distributed Systems.

Cloud & Infrastructure:

Microsoft Azure;

AWS;

Google Cloud Platform;

Containerization & Orchestration;

MLOps & LLMOps.

Working model: hybrid 2 days per week in the office Porto